ArticleScience advances2024
Correction of preferred orientation-induced distortion in cryo-electron microscopy maps.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Stable Isotope-Resolved Metabolomics in Elucidating Mitochondrial Metabolic Reprogramming and Therapeutic Targets.Biomedical chromatography : BMC · 2026Review
- Integrating multitemperature sample preparation with particle rebalancing addresses preferred orientation.PNAS nexus · 2026Article
- Near-atomic in situ architecture and membrane-coupled dynamics of the Vibrio cholerae sheathed flagellum.Nature communications · 2026Article
- UsingbioRxiv : the preprint server for biology · 2026Article
- A Surfactant Cocktail Overcomes Air-Water Interface Artifacts in Single-Particle CryoEM.bioRxiv : the preprint server for biology · 2026Article
- A comprehensive foundation model for cryo-EM image processing.Nature methods · 2026Article
- From Electron Imbalance to Network Collapse: Decoding the Redox Code of Ischemic Stroke for Biomarker-Guided Precision Neuroprotection.International journal of molecular sciences · 2025Review
- AI-based methods for biomolecular structure modeling for Cryo-EM.Current opinion in structural biology · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reconstruction maps of cryo-electron microscopy (cryo-EM) exhibit distortion when the cryo-EM dataset is incomplete, usually caused by unevenly distributed orientations. Prior efforts had been attempted to address this preferred orientation problem using tilt-collection strategy and modifications to grids or to air-water interfaces. However, these approaches often require time-consuming experiments, and the effect was always protein dependent. Here, we developed a procedure containing removing misaligned particles and an iterative reconstruction method based on signal-to-noise ratio of Fourier component to correct this distortion by recovering missing data using a purely computational algorithm. This procedure called signal-to-noise ratio iterative reconstruction method (SIRM) was applied on incomplete datasets of various proteins to fix distortion in cryo-EM maps and to a more isotropic resolution. In addition, SIRM provides a better reference map for further reconstruction refinements, resulting in an improved alignment, which ultimately improves map quality and benefits model building.
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Registered trials
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